Artificial Intelligence Engineer, Senior

Booz Allen Hamilton • Charleston, SC

13h • $99,000 - $225,000 • Onsite

About The Position

As a senior machine learning engineer on Booz Allen’s national security team, you will train, test, deploy, and maintain models that learn from data to support customer-focused solutions and national security. You will lead the direction of mission-critical solutions by selecting suitable machine learning algorithms and introducing emerging technologies. You will collaborate with and share knowledge with machine learning engineers across the company, building agent architectures, advanced retrieval capabilities, and stateful workflows that perform complex tasks while enforcing user permissions and maintaining reliable, controlled execution. You will also provide clients with guidance on machine learning algorithms, tools, and frameworks.

Requirements

• At least 5 years of experience working in a professional environment.
• Experience with production Model Context Protocol (MCP) server or client implementations, LangGraph, CrewAI, and the Claude Agent SDK.
• Experience deploying GraphRAG, including knowledge graphs and vector search, dynamic query routing, and self-correcting retrieval pipelines.
• Experience with JSON Schema and Protocol Buffers/Protobuf.
• Experience integrating identity and access management (IAM) tokens or claims into AI tool execution layers to enforce zero-trust, per-user data entitlements.
• Experience building fault-tolerant distributed systems, including idempotency keys for external API/tool mutations, early-exit stop conditions, automated budget enforcement, and asynchronous human-in-the-loop (HITL) state suspension or resumption.
• Knowledge of context compression, state serialization, and session persistence.
• Ability to design custom, non-standard cognitive architectures when off-the-shelf patterns fall short.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelor’s degree in Cybersecurity, Computer Engineering, Electrical Engineering, Electronics Engineering, Mathematics, or Computer Science.

Responsibilities

• Train, test, deploy, and maintain machine learning models.
• Lead the direction of mission-critical solutions by applying suitable machine learning algorithms and introducing leading-edge technologies.
• Collaborate with machine learning engineers to build agent architectures, advanced retrieval capabilities, and stateful workflows.
• Build workflows that perform complex tasks while enforcing user permissions and maintaining reliable, controlled execution.
• Guide clients as they navigate machine learning algorithms, tools, and frameworks.

Benefits

• Health, life, and disability benefits
• Financial and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards for exceptional performance and demonstration of company values

What This Job Offers

• Job Type: Full-time
• Career Level: Senior